Kristian Kersting is a Full Professor (W3) at the Computer Science Department of the TU Darmstadt University, Germany. He is the head of the Artificial Intelligence and Machine Learning (AIML) lab, a member of the Centre for Cognitive Science, a faculty of the ELLIS Unit Darmstadt, and the founding co-director of the Hessian Center for Artificial Intelligence (hessian.ai). After receiving his Ph.D. from the University of Freiburg in 2006, he was with the MIT, Fraunhofer IAIS, the University of Bonn, and the TU Dortmund University. His main research interests are statistical relational artificial intelligence (AI) as well as deep (probabilistic) programming and learning. Kristian has published over 180 peer-reviewed technical papers, co-authored a Morgan&Claypool book on Statistical Relational AI and co-edited a MIT Press book on Probabilistic Lifted Inference.
He also published Wie Maschinene Lernen, which is one of the first German general introductory books on AI and, in particular, machine learning, to educate the promise and potential of AI to the broader society. He also contributed articles on AI to the German newspapers Franfurter Allgemeine Zeitung (FAZ) and Die Welt, for the latter he writes a monthly column on AI.
Kristian is a Fellow of the European Association for Artificial Intelligence (EurAI), a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS), and a key supporter of the Confederation of Laboratories for Artificial Intelligence in Europe (CLAIRE). He received the Inaugural German AI Award (Deutscher KI-Preis) 2019, accompanied by a prize of EURO100.000, several best paper and outstanding reviewer awards, a Fraunhofer Attract research grant with a budget of 2.5 Million Euro over 5 years (2008-2013), and the EurAI (formerly ECCAI) AI Dissertation Award 2006 for the best Ph.D. thesis in the field of Artificial Intelligence in Europe.
Kristian co-chaired the scientific program committee (PC) of ECML PKDD 2013, UAI 2017 as well as ECML PKDD 2020 and was the General Co-Chair of UAI 2018. He regularly serves on the PC (often at senior level) of several other flagship AI and ML conferences, co-chaired several international workshops, cofounded the international workshop series on Statistical Relational AI (StarAI) and gave several tutorials at flagship AI and ML conferences, He is the founding Editor-in-Chief of Frontiers in Machine Learning and AI and is (past) action editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Journal of Artificial Intelligence Research (JAIR), Artificial Intelligence Journal (AIJ), Data Mining and Knowledge Discovery (DAMI), and Machine Learning Journal (MLJ) as well as on the editorial board of KI, the German AI Journal.